CN103454228A - Smoke blackness monitoring system adopting motion monitoring technology - Google Patents

Smoke blackness monitoring system adopting motion monitoring technology Download PDF

Info

Publication number
CN103454228A
CN103454228A CN2013104203941A CN201310420394A CN103454228A CN 103454228 A CN103454228 A CN 103454228A CN 2013104203941 A CN2013104203941 A CN 2013104203941A CN 201310420394 A CN201310420394 A CN 201310420394A CN 103454228 A CN103454228 A CN 103454228A
Authority
CN
China
Prior art keywords
module
blackness
analysis
data
alarm
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2013104203941A
Other languages
Chinese (zh)
Other versions
CN103454228B (en
Inventor
田华
高炳志
周海伦
孟双鹏
王亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Shougang Automation Information Technology Co Ltd
Original Assignee
Beijing Shougang Automation Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Shougang Automation Information Technology Co Ltd filed Critical Beijing Shougang Automation Information Technology Co Ltd
Priority to CN201310420394.1A priority Critical patent/CN103454228B/en
Publication of CN103454228A publication Critical patent/CN103454228A/en
Application granted granted Critical
Publication of CN103454228B publication Critical patent/CN103454228B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses a smoke blackness monitoring system adopting a motion monitoring technology and belonging to the technical field of smoke monitoring. The smoke blackness monitoring system comprises a video acquisition module, a motion detection module, a Ringelman blackness analysis module and a blackness alarm module, wherein the video acquisition module comprises an image acquisition module, an image storage module and an image transmission module; the motion detection module comprises a CP (Computer Program) processing module, an encoding module and a motion detection module body; the Ringelman blackness analysis module comprises an image rasterisation processing module, a blackness analysis module and a blackness recording module; the blackness alarm module comprises a blackness limit exceeding judgment module, an alarm prompt module, an alarm correction module and an alarm short message output judgment module. The smoke blackness monitoring system has the advantages of reliability, intuition and no need of artificial monitoring, provides objective and quantized data for enterprise environment monitoring and is capable of helping workers in environment protection administrations know about smoke exhaust conditions of enterprises in time.

Description

Adopt the blackness of exhaustion supervisory system of motion detecting technology
Technical field
Native system belongs to the flue gas monitoring technical field, and a kind of blackness of exhaustion supervisory system that adopts the motion detecting technology particularly is provided, and is applicable to environmental administration industrial enterprise's fume emission situation is monitored, collected evidence.
Background technology
The enterprise of environmental administration's monitoring is more, need to carry out real-time monitoring to industrial enterprise.Blackness of exhaustion monitoring difficulty is to get rid of atmospheric environment in observation process and changes the error that analysis brings to blackness, such as: aerial cloud amount, atmospheric visibility, light luminance all can affect to the result of blackness of exhaustion analysis.More the blackness of exhaustion supervisory system adopted and regularly captured image in the past, and the shortcoming of regularly capturing image is mainly reflected in the promptness that lacks the candid photograph blackness of exhaustion, easily cause Lou and clap, leak and analyze, can not meet real-time and the comprehensive requirement of modern environment monitoring, be unfavorable for the supervision of environmental administration to blowdown enterprise.
It is periodic observation that the lingemann blackness analysis that national environmental protection section carries out needs the people, and the human factor of bringing is a lot, and standard is difficult to accurately carry out.Although released on the market the lingemann blackness scope of some automatic Observations at present, this kind equipment is captured image by timing and is then analyzed generation lingemann blackness number.The coverage of this analysis mode depends primarily on equipment and regularly captures frequency, as the soot emissions of blowdown enterprise, holds time shortlyer, easily produces to leak and claps, leaks situation about analyzing.
Along with the development of protection and monitor field, with ripe, the user need to change the recording function of in good time opening DVR according to scene obtain first hand monitoring image, thereby saves a large amount of disk spaces for the user.Adopt the blackness supervisory system of motion detecting technology that characteristic the most completely can be provided.Be conducive to obtain more clearly, first hand monitoring image.
In view of the shortcoming of lingemann blackness analysis and the advantage of motion detecting technology, the present invention adopts motion detecting technology and lingemann blackness analysis to organically combine efficiently, form the blackness supervisory system of motion detecting technology, can better to blowdown enterprise, carry out online environment monitoring.
Summary of the invention
The object of the present invention is to provide a kind of blackness of exhaustion supervisory system that adopts the motion detecting technology, can better to blowdown enterprise, carry out online environment monitoring.
The present invention includes video acquisition module, movement detection module, lingemann blackness analysis module and blackness alarm module.Video acquisition module comprises image capture module, image memory module, image transmission module; Movement detection module comprises CP processing module, coding module, movement detection module; The lingemann blackness analysis module comprises image grid processing module, blackness analysis module, blackness logging modle; The blackness alarm module comprises blackness exceed standard judge module, alarm module, warning rectification module, alarming short message output judge module.The present invention adopts the B/S framework, the Development of Modular mode.The program division of video acquisition module is deployed on the video acquisition application server, and the program division of movement detection module, lingemann blackness analysis module, blackness alarm module is deployed on the core application server, and the System Dependent data are stored in database server.Each module, by the operation of distributed process management coordination, communicates by yuv data.Calling by the core application server exchange of intermodule, adopt the method for calling of asynchronous call, movement detection module adopts the method for calling of asynchronous call to call the data of acquisition module, the lingemann blackness analysis module adopts the method for calling of asynchronous call to call the data of movement detection module, the blackness alarm module adopts the method for calling of asynchronous call to call the data of lingemann blackness analysis module, the call relation of data coupling, low coupling between calling module, high cohesion.Video acquisition application server, core application server, database server access environmental administration's monitor network by switch, client accesses environmental administration's monitor network by router, the note cat is accessed blackness alert applications server by serial ports, and the alarming short message terminal receives by the wireless telecommunications of Virtual network operator the warning message that the note cat sends.
One, module annexation:
1. video acquisition module, movement detection module belong to backstage, realize preservation and the read operation of video acquisition, motion detecting grabgraf data.
2. lingemann blackness analysis module, blackness alarm module belong to foreground, and for service display, the data of the structure of display page, function, data and reception user input, for the user provides a kind of interface of interactive operation.
3. video acquisition module comprises image capture module, image memory module, image transmission module, is responsible for coding and the storage of video image, forms the digital video signal that movement detection module calls.
4. movement detection module comprises CP processing module, coding module, movement detection module, image is carried out to the motion detecting analysis, realize after the chimney smokes that system is captured picture automatically, by candid photograph to picture deliver to database server stores, for the lingemann blackness analysis module, call.
5. the lingemann blackness analysis module comprises image grid processing module, blackness analysis module, blackness logging modle, to candid photograph to the flue dust picture carry out rasterizing processing and blackness analysis, draw the blackness assay value, draw the blackness condition curve.The blackness assay value of analyzing gained is sent to database server stores, for the blackness alarm module, read and call.
6. the blackness alarm module comprises blackness exceed standard judge module, alarm module, warning rectification module, alarming short message output judge module, determine whether report to the police according to the analysis result of blackness analysis module, for receiving data, for the user provides a kind of interactive operation interface, be convenient to User Alarms and correct or the alarming short message output function.
Two, application function
1, automatically capture image (movement detection module is analyzed realtime graphic, realizes smoldering and automatically captures)
2, lingemann blackness analysis (by the photo of acquisition by coding process, rasterizing is processed the analyzable digital signal of formation system and analyze the lingemann blackness number)
3, the automatic alarm (set alarming value according to user's request, realize exceeding standard automatic alarm) that exceeds standard
4, blackness is analyzed auxiliary judgment (the blackness alarm module is judged the blackness number analyzed when triggering automatic candid photograph and analyzing blackness value, as the blackness numerical value drawn is less than the setting alarming value, system can reopen the candid photograph process, again obtain photo and analyzed, contrasting twice analysis result and determine whether to be reported to the police.)
Three, module forms and the function realization
1, video acquisition module:
Video acquisition module comprises image capture module, image memory module, image transmission module.
Video acquisition module be take ripe monitoring technique and is combined digital communication technology, image processing techniques as basis high clear video image is superposeed after OSD digitizing for movement detection module, lingemann blackness analysis module and live preview.
2, movement detection module:
Movement detection module comprises CP processing module, coding module, movement detection module.
CP(Image Coprocessor image coprocessor) processing module: yuv data adds the stack of OSD(character time in DSP) and the LOGO(bitmap), after compound, by pci bus, deliver in video memory, for the video live preview, also the data after compound are delivered in the internal memory of coding card, for coding module.
Coding module (ENCODER): the yuv data in the coding card internal memory is delivered in the MPEG4/H264 scrambler, produced the code stream compressed, deliver in host memory, for video recording or Internet Transmission.
Motion detecting processing module (MOTION DETECT): processed take the yuv data that frame is unit in the coding card internal memory.
3, lingemann blackness analysis module:
The lingemann blackness analysis module comprises image grid processing module, blackness analysis module, blackness logging modle.
The lingemann blackness analysis module, adopted lingemann blackness automatic analysis technology fully automatically, provides the flue dust picture to chimney to compress storage and powerful blackness condition curve Presentation Function, and can automatic analysis warehouse-in and historical query.
Take geographical information technology as basis, combine digital video technology, Computer Multimedia Technology, computer networking technology, digital communication technology, modern control technology.At present domestic the most advanced supervisory system, framework, on computer network, is realized intelligent management, and can merge with original information, rationally utilizes effective Internet resources, raises the management level and work efficiency.These partial function characteristics are as follows:
Changed the lingemann blackness analytical model of personal monitoring's inefficiency in the past, adopted lingemann blackness automatic analysis technology fully automatically, the result analyzed is accurate, and data are put in storage automatically, do not need artificial participation, saved greatly the limited man power and material of environmental administration.
Situation the situation of the discharge flue dust of chimney with video image stores, and the function of the flue dust picture of chimney being compressed to storage is provided simultaneously, saves limited hard drive space.
Provide powerful blackness condition curve Presentation Function, the blackness situation of the some chimneys in demonstration that can be very visual in image one period.
Automatic analysis warehouse-in and historical query: the data of analyzing are put in storage, and the function of data history inquiry is provided, for environmental administration provides foundation.
Lingemann blackness analysis module major function:
(1) multiple paths of video images is analyzed ,Qie Mei road image simultaneously and can be selected a plurality of monitoring points (throat);
(2) equipment control, video equipment adds, revises, deletes.
(3) video is carried out to real-time blackness analysis, sampling interval can be established, and analysis result shows with data form and curve map mode;
(4) real-time curve chart local amplification arbitrarily, drag and preserve.
(5) support the User Defined blackness alert levels (maximum 5 grades) that exceeds standard, and each rank actuation of an alarm (audible alarm and alarm picture record) that exceeds standard.
(6) normally analyze and interim analysis window freely switch, can choose interim analysis state as required, this analysis result is not counted in data, and can realize that interim analysis state and normal analysis state freely switch.
(7) blackness analysis site state recording and automatically recovering, record last blackness state, automatically recovers and show blackness analysis site last time.
(8) the presetting bit setting of cruising, arrange the presetting bit of cruising, can switch to fast the chimney monitoring location.
(9) the chimney database can import, and in database, field has: chimney numbering, unit, zone, responsible official, boiler type.
(10) record analysis data
(11) in database, the storage data are analysis time, chimney data, blackness value, candid photograph picture.
(12), according to environmental administration's business demand, can carry out correlation computations to blackness value.
(13) inquiry of historical data, analysis and statistics, can carry out query and search according to the various combination condition.
(14) support the blackness analytic function of playing back videos.
4, blackness alarm module:
The blackness alarm module comprises blackness exceed standard judge module, alarm module, warning rectification module, alarming short message output judge module,
The blackness alarm module, judge and the log history data the blackness analysis result.The operator on duty who receives the report for police service, after warning is confirmed, judges whether to carry out SMS alarm.
When judging that by after the image digitazation processing by the video acquisition module acquisition, transferring to movement detection module the chimney smokes, system captures lower this two field picture, by the yuv data of the image of acquisition generation standard.The yuv data obtained is transferred to the lingemann blackness analysis module and is carried out analyzing and processing after further encoding.
System show that this blackness assay value is judged afterwards, and as blackness value is more than or equal to standard value, the system automatic alarm is to client terminal and record time of fire alarming, chimney positional information.Consider that the blackness of exhaustion analysis is affected by weather, time factor larger, alert for false alarm reduction, after receiving the report for police service prompting, user terminal is confirmed whether SMS alarm by the operator on duty.The operator on duty finds the blackness assay value of inquiry system record after warning message and the image that candid photograph is arrived, as confirmed, this floss hole discharge beyond standards carries out SMS alarm.
It is reliable directly perceived that the present invention adopts the blackness supervisory system of motion detecting technology to have, need not manual supervisory characteristics, and for the corporate environment monitoring provides foundation objective, that quantize, help the staff of environmental administration to understand in time enterprise's fume emission situation.
The accompanying drawing explanation
The system summary composition that Fig. 1 is the specific embodiment of the invention.
The system general flow chart that Fig. 2 is the specific embodiment of the invention.
Fig. 3 is module annexation figure of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.
1. the system summary composition as shown in Figure 1, the present invention includes: video acquisition module, movement detection module, lingemann blackness analysis module, blackness alarm module.Video acquisition module of the present invention comprises: image capture module, image memory module, image transmission module.Movement detection module of the present invention comprises: CP processing module, coding module, movement detection module.Lingemann blackness analysis module of the present invention comprises: image grid processing module, blackness analysis module, blackness logging modle.Blackness alarm module of the present invention comprises: blackness exceed standard judge module, alarm module, warning rectification module, alarming short message output judge module.
2. as shown in Figure 2, the high-definition camera be arranged on apart from the suitable distance of chimney accesses the video acquisition application server of central machine room by the vision signal collected to the system general flow chart by the light signal teletransmission.Image carries out analog to digital conversion by the video acquisition server, generates the yuv data of standard, and overlaying character time, LOGO.Yuv data after coding is processed is transferred to movement detection module and is judged after coding card is processed.Movement detection module is processed take the yuv data that frame is unit in the coding card internal memory, when in movement detection module process decision chart picture, chimney starts to smolder discharge, system delivers to through switch the blackness analyzing and processing that lingemann blackness analytical applications server carries out image by the image grabbed.Lingemann blackness analytical applications server will be analyzed picture used and the preservation of blackness value write into Databasce after analyzing the image blackness value.The standard value of blackness value and setting is contrasted simultaneously, as be greater than standard value and open alarm, warning message transfers to Surveillance center's client through the network switch.The operator on duty inquires about the historical record (photo used while comprising blackness value and analysis) of alarm set point after receiving prompt messages, is confirmed.As the image blackness of exhaustion reaches alarm range, carry out SMS alarm and notify the related personnel.When operating at every turn, operating personnel all in system, insert operation note.
3. as shown in Figure 3, video acquisition module, movement detection module belong to backstage to module annexation figure, realize preservation and the read operation of video acquisition, motion detecting grabgraf data.Lingemann blackness analysis module, blackness alarm module belong to foreground, and for service display, the data of the structure of display page, function, data and reception user input, for the user provides a kind of interface of interactive operation.Between foreground module and background module, by yuv data, communicate.Video acquisition module is responsible for coding and the storage of video image, forms the digital video signal that movement detection module calls; Movement detection module carries out the motion detecting analysis to image, realizes after the chimney smokes that system is captured picture automatically, by candid photograph to picture deliver to database server stores, for the lingemann blackness analysis module, call; The lingemann blackness analysis module to candid photograph to the flue dust picture carry out rasterizing processing and blackness analysis, draw the blackness assay value, draw the blackness condition curve.The blackness assay value of analyzing gained is sent to database server stores, for the blackness alarm module, read and call; The blackness alarm module determines whether report to the police according to the analysis result of blackness analysis module, for receiving data, for the user provides a kind of interactive operation interface, is convenient to User Alarms and corrects or the alarming short message output function.

Claims (5)

1. a blackness of exhaustion supervisory system that adopts the motion detecting technology, is characterized in that, comprises video acquisition module, movement detection module, lingemann blackness analysis module and blackness alarm module; Video acquisition module comprises image capture module, image memory module, image transmission module; Movement detection module comprises CP processing module, coding module, movement detection module; The lingemann blackness analysis module comprises image grid processing module, blackness analysis module, blackness logging modle; The blackness alarm module comprises blackness exceed standard judge module, alarm module, warning rectification module, alarming short message output judge module;
The program division of video acquisition module is deployed on the video acquisition application server, and the program division of movement detection module, lingemann blackness analysis module, blackness alarm module is deployed on the core application server, and the System Dependent data are stored in database server; Each module, by the operation of distributed process management coordination, communicates by yuv data.Calling by the core application server exchange of intermodule, adopt the method for calling of asynchronous call, movement detection module adopts the method for calling of asynchronous call to call the data of acquisition module, the lingemann blackness analysis module adopts the method for calling of asynchronous call to call the data of movement detection module, the blackness alarm module adopts the method for calling of asynchronous call to call the data of lingemann blackness analysis module, the call relation of data coupling, low coupling between calling module, high cohesion;
Video acquisition application server, core application server, database server access environmental administration's monitor network by switch, client accesses environmental administration's monitor network by router, the note cat is accessed blackness alert applications server by serial ports, and the alarming short message terminal receives by the wireless telecommunications of Virtual network operator the warning message that the note cat sends;
Video acquisition module, movement detection module belong to backstage, realize preservation and the read operation of video acquisition, motion detecting grabgraf data;
Lingemann blackness analysis module, blackness alarm module belong to foreground, and for service display, the data of the structure of display page, function, data and reception user input, for the user provides a kind of interface of interactive operation;
Video acquisition module comprises image capture module, image memory module, image transmission module, is responsible for coding and the storage of video image, forms the digital video signal that movement detection module calls;
Movement detection module comprises CP processing module, coding module, movement detection module, image is carried out to the motion detecting analysis, realize after the chimney smokes that system is captured picture automatically, by candid photograph to picture deliver to database server stores, for the lingemann blackness analysis module, call;
The lingemann blackness analysis module comprises image grid processing module, blackness analysis module, blackness logging modle, to candid photograph to the flue dust picture carry out rasterizing processing and blackness analysis, draw the blackness assay value, draw the blackness condition curve; The blackness assay value of analyzing gained is sent to database server stores, for the blackness alarm module, read and call;
The blackness alarm module comprises blackness exceed standard judge module, alarm module, warning rectification module, alarming short message output judge module, determine whether report to the police according to the analysis result of blackness analysis module, for receiving data, for the user provides a kind of interactive operation interface, be convenient to User Alarms and correct or the alarming short message output function.
2. blackness of exhaustion supervisory system according to claim 1, is characterized in that, described video acquisition module superposes after OSD digitizing high clear video image for movement detection module, lingemann blackness analysis module and live preview.
3. blackness of exhaustion supervisory system according to claim 1, it is characterized in that, described lingemann blackness analysis module, adopted lingemann blackness automatic analysis technology fully automatically, provide the flue dust picture to chimney to compress storage and powerful blackness condition curve Presentation Function, and can automatic analysis warehouse-in and historical query.
4. blackness of exhaustion supervisory system according to claim 1, is characterized in that, described lingemann blackness analysis module function is as follows:
(1) multiple paths of video images is analyzed ,Qie Mei road image simultaneously and can be selected a plurality of monitoring points;
(2) equipment control, video equipment adds, revises, deletes;
(3) video is carried out to real-time blackness analysis, sampling interval can be established, and analysis result shows with data form and curve map mode;
(4) real-time curve chart local amplification arbitrarily, drag and preserve;
(5) support the User Defined blackness alert levels that exceeds standard, and each rank actuation of an alarm that exceeds standard;
(6) normally analyze and interim analysis window freely switch, can choose interim analysis state as required, this analysis result is not counted in data, realizes that interim analysis state and normal analysis state freely switch;
(7) blackness analysis site state recording and automatically recovering, record last blackness state, automatically recovers and show blackness analysis site last time;
(8) the presetting bit setting of cruising, arrange the presetting bit of cruising, switch to the chimney monitoring location fast;
(9) the chimney database can import, and in database, field has: chimney numbering, unit, zone, responsible official, boiler type;
(10) record analysis data;
(11) in database, the storage data are analysis time, chimney data, blackness value, candid photograph picture;
(12), according to environmental administration's business demand, blackness value is carried out to correlation computations;
(13) inquiry of historical data, analysis and statistics, can carry out query and search according to the various combination condition;
(14) support the blackness analytic function of playing back videos.
5. blackness of exhaustion supervisory system according to claim 1, it is characterized in that, described blackness alarm module judges also log history data to the blackness analysis result, and the operator on duty who receives the report for police service, after warning is confirmed, judges whether to carry out SMS alarm.
CN201310420394.1A 2013-09-16 2013-09-16 Adopt the flue gas blackness supervisory system of motion detecting technology Active CN103454228B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310420394.1A CN103454228B (en) 2013-09-16 2013-09-16 Adopt the flue gas blackness supervisory system of motion detecting technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310420394.1A CN103454228B (en) 2013-09-16 2013-09-16 Adopt the flue gas blackness supervisory system of motion detecting technology

Publications (2)

Publication Number Publication Date
CN103454228A true CN103454228A (en) 2013-12-18
CN103454228B CN103454228B (en) 2015-07-29

Family

ID=49736837

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310420394.1A Active CN103454228B (en) 2013-09-16 2013-09-16 Adopt the flue gas blackness supervisory system of motion detecting technology

Country Status (1)

Country Link
CN (1) CN103454228B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107831170A (en) * 2017-12-04 2018-03-23 佛山市南海区环境保护监测站(佛山市南海区机动车排气污染管理所) A kind of lingemann blackness bearing calibration of electronic shooting system
CN108776090A (en) * 2018-02-28 2018-11-09 中国地质大学(武汉) A kind of emission of diesel engine black smoke density measurement method and system based on machine vision
CN110837588A (en) * 2019-11-18 2020-02-25 成都智达万应科技有限公司 Environmental protection work supervision system for road transport enterprise

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108088799B (en) * 2017-12-04 2020-07-24 佛山市南海区环境保护监测站(佛山市南海区机动车排气污染管理所) Method and system for measuring Motor vehicle exhaust Rigemann blackness

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004104727A (en) * 2002-09-13 2004-04-02 Nohmi Bosai Ltd Smoke detection device
CN201293760Y (en) * 2008-12-01 2009-08-19 周峻雄 Digital Lingeman evidence obtaining instrument
CN101854517A (en) * 2009-04-03 2010-10-06 玴荣科技股份有限公司 Intelligent monitoring system and method thereof
JP2010237075A (en) * 2009-03-31 2010-10-21 Mitsubishi Motors Corp Exhaust gas measuring device
CN201697870U (en) * 2010-06-24 2011-01-05 中科宇图天下科技有限公司 Automatic flue gas blackness monitoring and analyzing system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004104727A (en) * 2002-09-13 2004-04-02 Nohmi Bosai Ltd Smoke detection device
CN201293760Y (en) * 2008-12-01 2009-08-19 周峻雄 Digital Lingeman evidence obtaining instrument
JP2010237075A (en) * 2009-03-31 2010-10-21 Mitsubishi Motors Corp Exhaust gas measuring device
CN101854517A (en) * 2009-04-03 2010-10-06 玴荣科技股份有限公司 Intelligent monitoring system and method thereof
CN201697870U (en) * 2010-06-24 2011-01-05 中科宇图天下科技有限公司 Automatic flue gas blackness monitoring and analyzing system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107831170A (en) * 2017-12-04 2018-03-23 佛山市南海区环境保护监测站(佛山市南海区机动车排气污染管理所) A kind of lingemann blackness bearing calibration of electronic shooting system
CN108776090A (en) * 2018-02-28 2018-11-09 中国地质大学(武汉) A kind of emission of diesel engine black smoke density measurement method and system based on machine vision
CN108776090B (en) * 2018-02-28 2019-12-17 中国地质大学(武汉) Diesel vehicle emission black smoke concentration measuring method and system based on machine vision
CN110837588A (en) * 2019-11-18 2020-02-25 成都智达万应科技有限公司 Environmental protection work supervision system for road transport enterprise

Also Published As

Publication number Publication date
CN103454228B (en) 2015-07-29

Similar Documents

Publication Publication Date Title
CN201887888U (en) Network video monitor system
CN103795987B (en) Embedded video collecting and processing system and implementation method thereof
CN105516664A (en) Intelligent monitoring system based on cloud storage and monitoring method thereof
CN202773015U (en) Image quality diagnosis device for video monitoring system
CN101764998A (en) Alarm interlocking method in network video monitoring system and network video monitoring system
CN103035105A (en) Fire alarm remote monitoring system based on internet of things and cloud computing
CN103454228B (en) Adopt the flue gas blackness supervisory system of motion detecting technology
CN102938836A (en) Real-time dynamic remote judicial evidence obtaining system
CN104270618A (en) Network video monitoring system capable of achieving automatic intrusion alarm
CN112232211A (en) Intelligent video monitoring system based on deep learning
CN107911650A (en) Intelligent watercourse monitoring system
CN106603973A (en) Internet based intelligent monitoring and alarming system
CN107231546A (en) The household monitoring system of autonomous tracking moving characteristic based on cloud security service device
CN101562729A (en) Home video monitoring system based on mobile phone interaction and method thereof
CN101710977A (en) Remote alarm video monitoring method
CN201697870U (en) Automatic flue gas blackness monitoring and analyzing system
CN204375138U (en) Based on the intelligent early-warning system of people's current density recognition technology
CN112422909A (en) Video behavior analysis management system based on artificial intelligence
CN102355575A (en) Distributed video monitoring device with pre-warning function
CN104038736B (en) Video data dynamic transmission method
CN105025259A (en) Intelligent transformer station inspection video live broadcast system and method based on Google eyeglasses
CN112001810A (en) Intelligent forestry patrolling system and method based on machine vision
CN111726412A (en) Intelligent building monitored control system based on big data
CN104767969B (en) Level crossing operation intelligence safety monitoring system and method
CN201360312Y (en) Monitoring system based on embedded Web video server

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant